matlab部分IPT函数的运用

1、读取显示所给PET图像（SE2IM210）。 2、学习imhist函数，画出所给PET图像的直方图。 3、根据直方图为该PET图像选择合适的显示窗（imshow参数），使胸 部轮廓等解剖结构可见。 4、根据直方图选择合适阈值，分割肿瘤区域与正常区域，计算肿瘤区 域内图像灰度均值、方差、最大值及最小值。(1 give PET images displayed, read (SE2 IM210). 2, learning, imhist function, draw the give PET image histogram. 3, according to the histogram for the PET image to choose the appropriate display window (imshow parameters), make bosom Outline of anatomical structures such as visible. 4, according to the histogram, choose appropriate threshold segmentation tumor area and normal area, calculating the tumor area In the domain of image grayscale average and variance, the maximum and minimum values.)

FSIM图像质量评价性能指标算法，衡量图像质量好坏程度(FSIM image quality uation performance index algorithm, to measure the degree of image quality )

迭代收缩阈值算法和快速收缩阈值迭代算法求解Lasso问题(Iterative Shrinkage Thresholding Algorithm (ISTA) for LASSO problem)

易语言图片按钮放大源码，易语言写的图形图像编程，很好的参考。(Easy language source code easy to picture button zoom, image language programming, a good reference.)

基于小波的去噪算法，采用BAYES原理选取阈值，源代码，参考文献：Adaptive Wavelet Thresholding for Image Denoising and Compression(Wavelet-based denoising algorithm using the principle to select threshold BAYES, source code references: Adaptive Wavelet Thresholding for Image Denoisingand Compression)

说明：  关于图像处理技术在冬小麦测试中的应用，用VC编的软件能对小麦进行二值化处理，中值滤波和灰度变换。(On image processing technology in the winter wheat test the application of the software made by VC on wheat binarization processing, median filtering and gray-scale transformation.)

这里包含了多种图像倾斜角度矫正的方法 其中有huogh变换 radon变换 还有常规的线性检测角度 然后矫正它(This contains a variety of image angle correction method which huogh transform the linear radon transform routine testing point of view there and then correct it)

SSD: Single Shot MultiBox Object Detector, in PyTorch A PyTorch implementation of Single Shot MultiBox Detector from the 2016 paper by Wei Liu, Dragomir Anguelov, Dumitru Erhan, Christian Szegedy, Scott Reed, Cheng-Yang, and Alexander C. Berg. The official and original Caffe code can be found here. Table of Contents Installation Datasets Train Evaluate Performance Demos Future Work Reference

说明：  用于图像去噪处理Tikhonov模型，仅供用于学习参考(Tikhonov model for image denoising)

说明：  道床加速度时程曲线。功率谱密度函数 图。1/3倍频程Z振级频谱图。道床Z振级VLz（dB）。(Acceleration time history curve of ballast. Power spectral density function. Frequency spectrum of 1 / 3 octave Z vibration level. Ballast Z vibration level vlz (DB).)